Tong Wang

University of Iowa

Assistant Professor

21 East Market St

PBB

Iowa City, IA 52241

United States

  • University of Iowa

SCHOLARLY PAPERS

4

DOWNLOADS

373

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (4)

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1.

Evaluating the Effectiveness of Marketing Campaigns for Malls Using A Novel Interpretable Machine Learning Model

Information Systems Research, forthcoming
Number of pages: 49 Posted: 18 Jun 2019 Last Revised: 29 Sep 2021
Tong Wang, Cheng He, Fujie Jin and Yu Jeffrey Hu
University of Iowa, Wisconsin School of Business, Kelley School of Business, Indiana University and Georgia Institute of Technology - Scheller College of Business
Downloads 246 (174,428)

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Interpretable Machine Learning, Response Curve, Mall, Marketing Campaigns

2.

Can Your Toothpaste Shopping Predict Mutual Funds Purchasing? — Transferring Knowledge from Consumer Goods to Financial Products Via Machine Learning

Number of pages: 40 Posted: 25 Apr 2022 Last Revised: 26 Apr 2022
Shenghao Wang, Tong Wang, Cheng He and Yu Jeffrey Hu
University of Iowa, University of Iowa, Wisconsin School of Business and Georgia Institute of Technology - Scheller College of Business
Downloads 127 (307,755)

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cross-domain recommendation, cross-domain consumer behavior, e-commerce, transfer learning

3.

Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs

Posted: 18 Nov 2019
Tong Wang, Fujie Jin, Yu Jeffrey Hu and Yuan Cheng
University of Iowa, Kelley School of Business, Indiana University, Georgia Institute of Technology - Scheller College of Business and Tsinghua University - School of Economics & Management

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4.

A Novel Deep Learning Approach to Predicting Medical Crowdfunding Donations

Georgia Tech Scheller College of Business Research Paper No. 19-12
Posted: 21 Jun 2019
Tong Wang, Fujie Jin, Yu Jeffrey Hu and Yuan Cheng
University of Iowa, Kelley School of Business, Indiana University, Georgia Institute of Technology - Scheller College of Business and Tsinghua University - School of Economics & Management

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medical crowdfunding, deep learning, multivariate temporal clustering, crowdfunding patterns